3.4 GB | 00:07:05 | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Generative AI Introduction  (284.75 MB)
2 - What is LangChain  (33.67 MB)
3 - Lets understand the LangChain benefits  (21.13 MB)
27 - Convert Jupyter Notebook to Python Script  (112.86 MB)
28 - Building the Apps frontend  (31.75 MB)
29 - Integration of Frontend Backend  (77.62 MB)
30 - Modularization of Code  (59.01 MB)
31 - Marketing-Campaign-App-Project-Source-Code  (4.76 KB)
32 - Importance of Memory in LLM powered Apps  (213.74 MB)
33 - Different Types of Memory  (198.17 MB)
35 - ChatGPT Clone Demo  (4.72 MB)
36 - Setting up the Project  (71.62 MB)
37 - Implementing the Frontend  (47.35 MB)
38 - Modularizing the Code  (18.69 MB)
39 - Passing Dynamic Data  (19.79 MB)
40 - Implementing Chatbot Conversational View  (28.16 MB)
41 - Conversation Summarization API key feature  (44.4 MB)
5 - HuggingFace Intro Access Token Generation  (152.56 MB)
6 - What is OpenAI  (31.24 MB)
7 - OpenAI API Key Generation  (20.56 MB)
8 - Project Implementation Demo  (104.35 MB)
9 - Anaconda Installation  (53.96 MB)
10 - LangChains Modules Overview  (11.47 MB)
11 - LLMs Walkthrough  (32.3 MB)
12 - LLM Practical Implementation using Python  (150.83 MB)
13 - Project Environment Setup  (107.73 MB)
14 - Lets Build Simple Question Answering Application  (61.8 MB)
15 - Chat Model Walkthrough  (6.67 MB)
16 - Chat Model Practical Implementation using Python  (128.86 MB)
17 - Lets Build Simple Conversational Application  (135.17 MB)
18 - Text Embedding Walkthrough  (20.5 MB)
19 - Text Embeddings Practical Implementation using Python  (36.39 MB)
20 - Embeddings Example using Python  (257.3 MB)
21 - Lets build Similar Words Finder Application  (250.43 MB)
22 - Prompts Module Introduction  (16.94 MB)
23 - Prompt Template Walkthrough  (186.74 MB)
24 - Example Selectors Walkthrough  (233.62 MB)
25 - Adding More Examples To Input Prompt  (103.16 MB)
26 - Output Parsers Walkthrough  (114.5 MB)
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